Pseudo-Cooperative Load Balancing for Wireless Nodes
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Solution Overview
Problem
In wireless networks, traffic distribution across multiple nodes can become uneven, leading to inefficiencies where some nodes are idle while others are overwhelmed, due to the lack of coordinated load balancing among independent nodes.
Innovation Solution
The implementation of a pseudo-cooperative load balancing technique where independent nodes generate output keys based on the volume of differentiated data, allowing for the distribution of traffic without direct communication between nodes, thereby achieving a balanced distribution of data across multiple destinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If independent nodes operate autonomously without communication, then node independence and system simplicity are maintained, but traffic distribution becomes uneven and some nodes become overwhelmed
Solution Approach 1:
The patent introduces a controller as an intermediary component that coordinates load balancing across independent nodes. The controller receives traffic distribution information from nodes and generates load balancing policies, enabling coordinated traffic distribution without requiring direct communication between independent nodes. This resolves the contradiction by maintaining node independence while achieving efficient traffic distribution through the mediator.
2Productivity
If nodes share load balancing information, then traffic distribution becomes more balanced, but communication overhead and system complexity increase
Solution Approach 1:
The controller acts as a centralized intermediary that collects minimal traffic distribution information from nodes and computes optimal load balancing policies. This approach achieves balanced traffic distribution while minimizing communication overhead, as nodes only need to report to the controller rather than exchange information with each other. The controller consolidates information processing and policy distribution functions.
3Productivity
If traffic is distributed evenly across all nodes, then resource utilization improves, but nodes with different capabilities experience performance degradation
Solution Approach 1:
The patent implements differentiated load balancing policies tailored to each node's specific capabilities and characteristics. The controller generates customized policies that consider individual node performance, capacity, and status, rather than applying uniform distribution. This ensures optimal resource utilization while maintaining each node's performance integrity by assigning workloads appropriate to their capabilities.
Solution Approach 2:
The load balancing policies are dynamically adjusted based on real-time node status and traffic conditions. The controller continuously monitors node performance and updates distribution policies to reflect changing capabilities and demands. This dynamic adaptation ensures that traffic distribution remains optimized for both resource utilization and node performance under varying operational conditions.
Data Source
AI summary
Embodiments described herein provide for the pseudo-cooperative load balancing and/or distribution of traffic and/or other types of data by independent nodes. Techniques described herein may be considered “pseudo-cooperative” in that the resulting distribution of traffic and/or other data may resemble load balancing techniques in which various nodes, that serve as an ingress for data for distribution and/or other types of processing, communicate with each other (e.g., share context information) in order to perform load balancing in a coordinated or cooperative manner. In contrast, nodes in accordance with some embodiments described herein may perform load balancing with the same or similar results (e.g., a relatively even distribution of traffic and/or other data), without communicating with each other, thus saving time, processing resources, and/or other resources.